Discovery & Classification
Identify sensitive structured and unstructured data and apply business-relevant classifications using AI-enabled discovery.
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Data Security
Sotero
Protect data wherever it lives or moves.
Sotero unifies Data Security Posture Management and Data Detection and Response to discover sensitive information, analyse risk, control access and actively defend structured and unstructured data from insider threats and ransomware.
The business challenge
Why organisations consider this solution.
Sensitive data is distributed across databases, files and cloud environments. Discovery alone shows the risk, but organisations also need active controls that can detect and stop malicious use.
Core capabilities
What Sotero
helps you do.
Risk Analysis
Assess where sensitive information is exposed, who can access it and which vulnerabilities should be prioritised.
Active Data Protection
Monitor data requests, enforce access policies and use encryption, tokenisation or masking to protect information through its lifecycle.
Ransomware Prevention
Use behavioural and signature-based anomaly detection to identify and neutralise malicious data activity in real time.
Reference architecture
See the actual
solution topology.
Discover sensitive information wherever it lives, assess its exposure and apply active controls to stop ransomware, insider misuse and unsafe access. The diagram below shows the product's distinct operating model, data paths and enforcement or decision points.
Illustrative reference architecture — final design depends on the customer environment and vendor-supported integration pattern.
Example use cases
Apply the architecture
to a real scenario.
These examples explain the business purpose behind the architecture. Final scope, integrations and outcomes depend on your environment and implementation design.
01Ransomware defence
Stop mass file encryption
A compromised account starts rapidly modifying protected files across a shared repository.
- 1Observe access and change behaviour
- 2Detect the ransomware-like anomaly
- 3Neutralise the activity and preserve evidence
Expected resultCritical data remains available while responders investigate the source.
02Insider threat
Control sensitive record access
A contractor has legitimate system access but begins reading data outside the expected role.
- 1Classify the sensitive data
- 2Evaluate access against policy and behaviour
- 3Restrict or investigate the risky session
Expected resultAuthorised access does not become unrestricted data exposure.
03Cloud data posture
Find exposed sensitive data
Data has spread across cloud stores and teams cannot confidently identify risky locations.
- 1Discover and classify repositories
- 2Score exposure and access risk
- 3Prioritise remediation by sensitivity
Expected resultSecurity owners gain a current, risk-ranked view of their data estate.
Delivery path
From requirement
to production value.
The exact architecture depends on your environment, but the solution typically follows this practical operating flow.
Discover the data estate
Scan connected data stores to locate and classify sensitive information across on-premises and cloud environments.
Build the risk picture
Map sensitive data to permissions, users, applications and vulnerabilities to identify the most important exposures.
Apply active controls
Set access and protection policies for authorised use while monitoring each relevant data request.
Detect and neutralise
Analyse behaviour continuously and block suspicious or ransomware-related actions before damage spreads.
Typical use cases
Where it fits.
- Data security posture management
- Ransomware protection
- Sensitive-data access governance
- Data-in-use protection for critical workloads
Expected outcomes
What success looks like.
- One view of sensitive-data risk
- Active protection beyond discovery
- Reduced ransomware and insider-threat exposure
- Consistent controls across diverse data stores
DLAB's role
Technology is only valuable
when it works in your environment.
DLAB helps customers evaluate the fit, define use cases, coordinate solution demonstrations and proofs of concept, plan deployment with the principal and local partners, and establish the support path for production.
Arrange a solution workshop